Subjective psychiatric symptoms in post-acute autoimmune encephalitis: findings from the Australian autoimmune encephalitis consortium. [PDF]
Ko KY +32 more
europepmc +1 more source
Micro/Nanorobots for Combating Brain Disorders: Challenges, Advances, and Perspectives
Micro/nanorobots (MNRs) offer a transformative approach for precision therapy in brain disorders. By overcoming biological barriers and enabling controlled propulsion, targeted delivery, and real‐time imaging/tracking, MNRs pave the way toward effective, minimally invasive treatments. This review outlines the interplay between brain disease challenges,
Qi Zhang, Dong Sun
wiley +1 more source
Correction: A Dynamic Foundation: Aberrations of Sleep Architecture and Its Association With Clinical and Sub-clinical Psychopathology. [PDF]
Todd RC.
europepmc +1 more source
Psychology and Psychopathology: Their Place in the Treatment of Pulmonary Tuberculosis [PDF]
John Brice Plass
openalex +1 more source
In a prospective study of 20 elderly gastric cancer patients who declined gastrectomy, laparoscopic and endoscopic cooperative surgery (LECS) was technically safe and preserved postoperative function. However, as oncological curability cannot be assured in advanced cases, careful selection and informed consent are essential.
Marie Washio +9 more
wiley +1 more source
Bringing future thinking into focus in psychopathology. [PDF]
Hallford DJ.
europepmc +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi +5 more
wiley +1 more source
Psychological trauma increases blood pressure sensitivity to angiotensin II via T-lymphocytes independent of psychopathology. [PDF]
Case AJ +6 more
europepmc +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source

